Return‐Volatility Nexus in the Digital Asset Class: A Dynamic Multilayer Connectedness Analysis

ABSTRACT Based on the rationale that returns and volatility are interrelated, we apply a multilayer network framework involving the return layer and volatility layer of cryptocurrencies, NFTs, and DeFi assets over the period January 1, 2018–January 23, 2024. The results show significant connectedness in each of the return and volatility layers, with major cryptocurrencies such as Bitcoin and Ethereum playing a central role. Large spikes in the level of connectedness are noticed around COVID‐19 pandemic and Russia–Ukraine conflict, and Bitcoin and Ethereum emerge as net transmitters of returns and volatility shocks, emphasizing their significant role around these crisis periods. Notably, a strong positive rank correlation exists between the return and volatility layers, highlighting the significant risk–return relationship in the digital asset class. The findings suggest that economic actors should not ignore the interconnectedness between the return and volatility layers in the system of cryptocurrencies, NFTs, and DeFi assets for the sake of a comprehensive analysis of information flow. Otherwise, a share of the information flow concerning the return–volatility nexus across these digital assets would be missed, possibly leading to inferences regarding asset pricing, portfolio allocation, and risk management.

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Publication Details

Journal
Bulletin of Economic Research
Published
2025-12-23
DOI
https://doi.org/10.1111/boer.70035
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.25
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article

Return‐Volatility Nexus in the Digital Asset Class: A Dynamic Multilayer Connectedness Analysis

Elie Bouri, Sayar Karmakar, Rangan Gupta, Matteo Foglia
1 citations
Bulletin of Economic Research
Blockchain Technology Applications and Security
3.25
article

Return‐Volatility Nexus in the Digital Asset Class: A Dynamic Multilayer Connectedness Analysis

Elie Bouri, Sayar Karmakar, Rangan Gupta, Matteo Foglia
article en
1 citations

Abstract

ABSTRACT Based on the rationale that returns and volatility are interrelated, we apply a multilayer network framework involving the return layer and volatility layer of cryptocurrencies, NFTs, and DeFi assets over the period January 1, 2018–January 23, 2024. The results show significant connectedness in each of the return and volatility layers, with major cryptocurrencies such as Bitcoin and Ethereum playing a central role. Large spikes in the level of connectedness are noticed around COVID‐19 pandemic and Russia–Ukraine conflict, and Bitcoin and Ethereum emerge as net transmitters of returns and volatility shocks, emphasizing their significant role around these crisis periods. Notably, a strong positive rank correlation exists between the return and volatility layers, highlighting the significant risk–return relationship in the digital asset class. The findings suggest that economic actors should not ignore the interconnectedness between the return and volatility layers in the system of cryptocurrencies, NFTs, and DeFi assets for the sake of a comprehensive analysis of information flow. Otherwise, a share of the information flow concerning the return–volatility nexus across these digital assets would be missed, possibly leading to inferences regarding asset pricing, portfolio allocation, and risk management.

Bulletin of Economic Research
University of Florida (US), Kyung Hee University (KR), University of Bari Aldo Moro (IT), Lebanese American University (LB), University of Pretoria (ZA)
Openalex Percentile: Top 5%
Blockchain Technology Applications and Security
3.25
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